- Big Data Infrastructure & Processing
- Session type
- Technical level
Infrastructure for Big-Data processing (drop-in replacement for Hadoop Distributed File System - HDFS)
GlusterFS is an open source, distributed file system capable of scaling to several petabytes and handling thousands of clients. GlusterFS clusters together storage building blocks over Infiniband RDMA or TCP/IP interconnect.
GlusterFS can also be used as a replacement for HDFS and to run Map/Reduce jobs on data residing on it. GlusterFS Hadoop plugin allows exisitng Map/Reduce jobs to seamlessly work without any changes. This is done by using Hadoop's FileSystem interface and communicating to GlusterFS via it's native protocol (using FUSE).
Basic know-how of GlusterFS Distributed File System Working knowledge of Hadoop UNIX
Venky Shankar works on GlusterFS at Red Hat. He is a Team lead for the Replication team and is also responsible for designing and implementing the Hadoop compatibility plugin in GlusterFS. He has about six years of experience in the industry. His interests include System Programming, Distributed Systems, Big Data.